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CNN Just Ran One of the Worst AI Puff Pieces We’ve Ever Seen in Our Lives About That “AI Actor” Tilly Northwood16m ago How Credit Genie keeps codebase docs fresh with OpenWiki18m ago Closing The Gap Between AI Ambition And Data Reality19m ago ElevenLabs signs its first major-label deal, licensing Universal music for a fan remix platform25m ago Top Pentagon official dismisses viral AI warning from an Anthropic researcher25m ago Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale28m ago SpaceX sues to block release of tax-break records for its Texas Terafab project29m ago Salesforce closes Fin and eyes $2bn Listen Labs, Business Insider reports30m ago Google brings Gemini for desktop app to Windows30m ago AI’s Hidden Apprenticeship Tax (And How Firms Can Avoid It)34m ago Abacus.AI Releases Three Open-Weight Smaug Models for Agentic Workloads39m ago Clay raises $115m at a $7.1bn valuation, more than double its 2025 price40m ago Before AI Agents Take Action, Enterprises Need A New Data Rule Book49m ago Feature Engineering in Scikit-Learn: A KDnuggets Cheat Sheet49m ago

Agents AI Research12 min reading time

How Candidly Built State-Aware Agent Harnesses in LangSmith

LangChainPublished 15 days ago

Candidly developed a state-aware agent harness for its AI financial planner, Cait, using LangSmith to analyze conversation traces and predict outcomes in real time. This approach enables Cait to steer conversations more effectively by assessing user state and selecting responses based on past interactions.

#agentic-software-development #candidly #conversational-agents #financial-planning #langsmith

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